PPT-Virus Propagation on Time-Varying Networks: Theory and Immu

ECMLPKDD 2010 Barcelona Spain B Aditya Prakash Hanghang Tong Nicholas Valler Michalis Faloutsos Christos Faloutsos Carnegie Mellon University Pittsburgh USA. ccnueducn Abstract In this paper two different propagation models based on different topologies of email network are proposed By analyzing the means and the characters of email virus spreading the function of email virus propagation is given and the Optimal . ContRol. of self-Organized Wireless Networks. WP1. Understanding and influencing uncoordinated interactions of autonomic wireless networks. Iordanis. . Koutsopoulos. WP1 overview. Leader: U of Thessaly. Gregory Moore, Rutgers University. Strings-Math, Bonn, July, 2012. P. . Aspinwall,W. .-y. . Chuang,E.Diaconescu,J. . . Manschot. , . Y. . . Soibelman. D. . Gaiotto. & A. . Neitzke. D. Van den . Author: . Zhe. -Si Shen, Wen-Xu Wang , . etc. Speaker: . Zhi-Qiang. You. Background Knowledge. SIS. . . CP(Contact Process). . . CST. Reconstruction Framework(SIS). See. Page 13-14. The FLoWS Project. Thrusts 0 and 1. Metrics and Upper Bounds. Muriel Medard, Michelle Effros and Ralf Koetter. Thrust Areas. Metric design. Define relevant metrics that reconcile capacity with network-centric views of throughput and delay :. Viral Marketing in Social . Networks: . Truth . or Fiction?. Thang. N. . Dinh. , Dung T. Nguyen, My T. Thai. Dept. of Computer & Information Science & Engineering. University of Florida, Gainesville, FL. Rodriguez. Structure and Dynamics . of Information Pathways . in On-line Media. 05.09.12 Workshop Menorca. ,. . MPI for Intelligent Systems. 2. Propagation over networks. Social Networks. Recommendation Networks. Emmanuel Baccelli, Philippe Jacquet, Bernard Mans, and Georgios Rodolakis. Presented by: Mayank Shekhar. Contents. Information Propagation Speed. Significance. Dependency. Mathematical Model for Delay Tolerant Networks. An introduction to learning internal representations By error Propagation. Presented by:. Kunal Parmar. UHID: 1329834. 1. Outline of the Presentation. Introduction. Historical Background. Perceptron. Andrew J. Viterbi. Presidential Chair Professor of Electrical Engineering. University of Southern California. September 25, 2017. Careers’ Timeline. JPL/USC 1957-1963. UCLA 1963-1975. UCSD 1975-1985 . B. . Aditya. . Prakash. http://www.cs.cmu.edu/~badityap. Carnegie Mellon University. MMS, SIAM AN, Minneapolis, July 10, 2012. Thanks !. Jeremy . Kepner. David . Bader. John . Gilbert. 2. Networks are everywhere!. Navigation and Propagation in Networks Michael Goodrich Some slides adapted from slides by Jean Vaucher , Panayiotis Tsaparas , Jure Leskovec , and Christos Faloutsos NE MA Review: Milgram’s experiment Departm e e d, Ph.D. d UCLA I m p artment) rance. Sh e p ters and r king form u n ed five P h b oratory D i t inguished ieties and m an Immu n a se join m e a than Bra u f essor an d nt of Pat h Slides Courtesy of the Methodology Center at . P. enn . S. tate . U. niversity . m. ethodology.psu.edu . Outline. Conceptual Introduction to TVEM. Types of Questions. Data Considerations. TVEM Step-by-step.